Brain Catalog

Brain Catalog aggregates and analyzes over 500 GWAS (Genome-Wide Association Studies) summary statistics for brain-related traits to identify genetic variants, genes, tissues, and causal relationships underlying mental and behavioral disorders and diseases of the nervous system.

Key Features:

• Identification of Genetic Components: Provides candidate causal variants, prioritized genes, and implicated functional tissues or cell types for each brain-related trait using multiple analytical methods and annotation datasets including 58 QTL datasets across six types of QTLs.
• Heritability Estimation: Reports SNP-based heritability estimates and partitions heritability by functional annotations.
• Genetic Correlation Analysis: Quantifies genetic correlations among brain-related traits to reveal shared genetic architecture and potential pleiotropy.
• Mendelian Randomization Analyses: Conducts bidirectional Mendelian randomization analyses to infer likely causal risk factors for individual traits.

Scientific Applications:

• Genetic Research: Enables investigation of the genetic basis of mental health disorders and neurological diseases using aggregated GWAS summary statistics and downstream analyses.
• Functional Genomics: Supports identification of functional genomic elements contributing to complex brain-related phenotypes via integration of QTL datasets and tissue/cell-type mapping.
• Personalized Medicine: Informs research on genetic predispositions that may guide individualized risk assessment and intervention strategies.

Methodology:

Analytical methods explicitly include candidate causal variant and gene prioritization, mapping to tissues and cell types, integration of 58 QTL datasets across six QTL types, SNP-based heritability estimation and partitioning by functional annotations, genetic correlation analysis, and bidirectional Mendelian randomization analyses.